Senior Data Scientist Medical Analytics, Care Gaps & Customer Segmentation Team

Pfizer • New York City, NY

1d

About The Position

The Senior Data Scientist plans and performs advanced care gap analytics and segments healthcare professionals (HCPs) and key opinion leaders (KOLs) using real-world data. The role supports the Care Gaps & Segmentation Team Leader with strategic and tactical planning, communicates analytical insights, mentors data scientists and data engineers, and collaborates across teams to establish analytical best practices and identify opportunities to improve care gap and segmentation solutions.

The position owns end-to-end integrated care gap analyses, including planning, identifying data inputs such as claims data for unmet-need analysis, preparing and maintaining complex analytical datasets with data engineering partners, addressing data issues, and generating visualizations and insights. It conducts asset-specific analyses for Medical Affairs using predictive models, machine learning, probabilistic causal models, and unsupervised algorithms. It also develops HCP segments, maps, and prioritizations across dimensions including care gaps to guide channel activation, content, and Medical Science Liaison activity in Anchor countries.

The role requires substantial healthcare data science experience, advanced data science qualifications, project leadership, coaching ability, cross-functional influence, and knowledge of pharmaceutical medicine, clinical trials, drug development, and applicable regulatory, promotional, legal, and compliance considerations. The position is based in the United States, with listed locations and remote eligibility. Relocation assistance may be available based on business needs and eligibility. Candidates must have permanent U.S. work authorization; visa sponsorship is unavailable.

Requirements

• Degree in Data Sciences, Computer Sciences, Statistics, Clinical Informatics, or a similar field, with an advanced qualification in Data Science.
• Relevant certification and/or work experience in data engineering.
• Experience in data sciences, notably in healthcare: 8 or more years with a bachelor’s degree, 7 or more years with a master’s degree, or 5 or more years with a Ph.D.
• Ability to independently lead projects and support colleagues’ professional growth.
• Effectiveness working in a cross-functional business environment and proven influencing skills.
• Strong interpersonal skills to build rapport and credibility with Pfizer leaders and external stakeholders.
• Ability to partner across cultures and regions.
• Effective English verbal and written communication, adapting communication to scientific/technical, promotional, patient/consumer, regulatory, and media settings.
• In-depth understanding of pharmaceutical medicine, including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules and guidance, legal and compliance matters, issue management, and business development opportunity evaluations.
• Ability to anticipate customer and market needs and understand industry trends, competition, and how strategies and tactics work in the marketplace.
• Commitment to meeting internal and external customer expectations, prioritizing patient safety, and building trusted customer relationships.
• Ability to make timely and effective decisions using business and financial acumen, act with urgency, remove productivity barriers, and deliver results.
• Ability to develop teams that initiate and respond to change and to align teams and processes for sustainable change.
• Strategic and innovative thinking, including developing creative business models and strategies and encouraging innovation in others.
• Ability to coach and develop talent, build leadership capability, and model Pfizer’s values and behaviors.
• Demonstrated ability to lead transformational change, lead teams, engage diverse stakeholders, and understand technology applications in the life sciences sector.
• Permanent U.S. work authorization; U.S. work visa sponsorship is not available.

Responsibilities

• Support the Care Gaps & Segmentation Team Leader in strategic and tactical planning for medical analyses.
• Collaborate with the team leader to communicate generated insights.
• Mentor and coach data scientists and data engineering colleagues.
• Use cross-team collaboration and asset-specific experience to develop and disseminate best practices for care gap analyses and HCP segmentation.
• Identify future opportunities involving data inputs, analytical tools, and capability-building initiatives to improve the impact and adoption of care gap and segmentation solutions.
• Prepare and maintain datasets for ongoing high-complexity analytical needs in collaboration with data engineers, flagging data issues and advising on solutions.
• Own integrated care gap analyses end to end, including strategic planning, identifying required data inputs, and producing effective visualizations and insights.
• Plan and perform asset-specific care gap analyses to guide Medical Affairs activities using predictive models, machine learning, probabilistic causal models, and unsupervised algorithms.
• Create asset-specific HCP segments, maps, and prioritizations across dimensions including care gaps to guide channel mix and activation, content creation, and MSL activity in Anchor countries.
• Lead projects, guide colleagues’ work, and support colleagues’ professional growth.
• Drive transformational change, engage diverse stakeholders, and apply technology to the life sciences sector.

Benefits

• 401(k) plan with Pfizer matching contributions and an additional Pfizer Retirement Savings Contribution
• Paid vacation, holiday, and personal days
• Paid caregiver, parental, and medical leave
• Medical, prescription drug, dental, and vision coverage
• Eligible for participation in Pfizer’s Global Performance Plan, with a bonus target of 20% of base salary
• Eligible to participate in a share-based long-term incentive program
• Relocation assistance may be available based on business needs and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior